Data Center Engineer

In this critical and highly technical role, you will be responsible for executing AMD’s Datacenter graphics hardware/software subsystem projects for AMD OEM partners and enterprise commercial end-customers. This position provides a unique opportunity to leverage your expertise in graphics, compute, datacenter technologies, virtualization, AI/Machine Learning, and program management to collaborate with customers utilizing AMD Instinct Accelerators., * Perform node and cluster-level software installation and validation for GPU/compute AI and Machine Learning projects.

• Resolve technical issues for customers utilizing AMD Instinct products.
• Provide technical guidance and support to customers for server graphics and compute projects related to AI and Machine Learning workloads.
• Build datacenter GPU dockers and containers for customer testing and deployment.
• Qualify and assess new software functionality to ensure compatibility with customer requirements.
• Assist development teams in identifying and resolving hardware/software technical issues throughout the product lifecycle, from initial hardware bring-up to end-of-life.
• Follow procedures to communicate, report, and escalate incidents to AMD Management.
• Collaborate with program managers to maintain project schedules, track action items, ensure deliverables are met, and provide project status updates to customers and AMD management.
• Develop a strong understanding of the client’s business to ensure impactful and effective task completion., AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.

You must be a team player with a strong commitment to meeting deadlines and the ability to thrive in a fast-paced, multi-tasking environment., The ideal candidate possesses exceptional datacenter deployment and troubleshooting skills in AI GPU hardware, software, and networking. They are highly analytical, detail-oriented, self-motivated, and maintain a positive, results-driven attitude. This role may require up to 75% travel., + Datacenter customer support roles.

• Large-scale cluster deployment within hyperscale datacenters.
• Server architecture and functionality, including remote management, network topologies, and graphics software/hardware subsystems.
• Linux installation, setup, usage, and debugging.
• Virtual environments (e.g., VMWare, Citrix, KVM, Microsoft) and virtual machine setup/management.
• Datacenter GPU software stacks such as AMD ROCm or Nvidia CUDA.
• Validating multimode AI clusters using AMD tools (e.g., AGFHC, RCCL RDMA) or equivalents.
• AI/Machine Learning workloads, frameworks, and models.
• Strong debugging, problem-solving, and analytical skills.
• Excellent verbal and written communication skills for conveying technical information.
• Self-starter with attention to detail, organizational skills, and the ability to multitask in a fast-paced environment.

ACADEMIC CREDENTIALS:

• Bachelor’s or Master’s degree in computer engineering, Electrical Engineering, Computer Science
• Technical certifications in relevant software systems are highly desirable

At AMD, we believe technology can change lives for the better. It can heal us, entertain us, and make us more connected, productive, and understanding of the world around us. And we’re looking for talent who feel the same: people who want to leave the planet better than they found it, those who don’t shy away from humanity’s challenges but are determined to help solve them.

AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI. Whether you’re designing next-gen processors, enabling AI breakthroughs, or creating go-to-market plans, every role at AMD contributes to something bigger - technology that moves the world forward.